In this article, author Juan Pan discusses the data sharding architecture patterns in a distributed database system. She explains how Apache ShardingSphere project solves the data sharding ...

Exploring System Architectures For Data-Intensive Applications Computer, memory, network and storage performance have all evolved at different rates, causing data bottlenecks.

Data architecture translates business needs into data and system requirements, and seeks to manage data and its flow through the enterprise.

Srikanth Gorle's research focuses on creating transparent, privacy-aware, and scalable data systems by applying Explainable ...

Data architects visualize and design an organization's enterprise data management framework, aligned with enterprise strategy and business architecture.

In this paper, the authors have proposed an architecture for management of data in cloud termed as “Cloud Database Management System Architecture”.

Many CIOs struggle with deciding if a centralized or decentralized data system is right for them. Here are the pros and cons of each.

Dheeraj Yadav is a distinguished database architect with over 18 years of experience in enterprise database solutions.